CN115606230A - Layer two measurement quantity enhanced representation and report method and device - Google Patents
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Abstract
The embodiment of the application relates to a method and equipment for enhanced representation and report of a layer two measurement quantity, wherein the method comprises the steps of determining enhanced representation data of the layer two measurement quantity; wherein the enhanced representation data of the layer two measurement is used to indicate a degree of dispersion of the sample of the layer two measurement; the enhancement of the layer two measurement is sent to represent the data. The embodiment of the application provides more information quantity capable of reflecting network performance, and provides more reference information for targeted resource adjustment or load balancing of the network.
Description
The present application relates to the field of communications, and more particularly, to layer two measurement quantity enhancement representation and reporting methods and apparatus.
For the third Generation Partnership Project (3 gpp), 3rd Generation Partnership Project (3G) 5G New Radio Access (NR, new Radio Access) technology, layer 2 (Layer 2) refers to three sublayers in a protocol stack, including a media Access control Layer (media Access control Layer), a Radio link control Layer (Radio link control Layer), and a packet data convergence protocol Layer (packet data convergence protocol). At 38.314, four data transmission delays for layer two measurements are defined, including:
average transmission delay of uplink air interface data packets of a given terminal aiming at a given DRB;
average data packet time delay of an uplink RLC layer of a given terminal aiming at a given DRB;
average reordering delay of uplink PDCP of a given terminal aiming at a given DRB;
and (3) aiming at the Average transmission Delay of an uplink PDCP data Packet (UL PDCP Packet Average Delay per DRB per UE) of a given terminal of a given DRB.
The first three measurement quantities are measurement quantities obtained by measuring the measurement object by the base station, and the fourth measurement quantity is measurement quantity obtained by measuring the measurement object by the terminal.
The four-layer and two-layer measurement quantities are average values of measurement objects in a period of time, and the information quantity reflecting the network performance is less, so that sufficient reference information cannot be provided for the network to perform targeted resource adjustment or load balancing.
Disclosure of Invention
The embodiment of the application provides a layer two measurement quantity enhancement representation and report method and device.
The embodiment of the application provides a two-layer measurement quantity enhancement representation and report method, which comprises the following steps:
determining enhanced representation data of the layer two measurement quantity; wherein the enhanced representation data of the layer two measurement is used to indicate a degree of dispersion of the sample of the layer two measurement;
and sending the enhanced representation data of the layer two measurement quantity.
An embodiment of the present application further provides a resource adjustment method, including:
receiving enhanced representation data of the layer two measurement quantity; wherein the enhanced representation data of the tier two measurement is indicative of a degree of dispersion of the sample of the tier two measurement;
and adjusting resources according to the enhanced representation data of the layer two measurement quantity.
An embodiment of the present application further provides a communication device, including:
the determining module is used for determining enhanced representation data of the layer two measurement quantity; wherein the enhanced representation data of the layer two measurement is used to indicate a degree of dispersion of the sample of the layer two measurement;
and the sending module is used for sending the enhanced representation data of the layer two measurement quantity.
An embodiment of the present application further provides a network device, including:
the receiving module is used for receiving the enhanced representation data of the layer two measurement quantity; wherein the enhanced representation data of the tier two measurement is indicative of a degree of dispersion of the sample of the tier two measurement;
and the adjusting module is used for adjusting resources according to the enhanced representation data of the layer two measurement quantity.
An embodiment of the present application further provides a communication device, including: a processor and a memory for storing a computer program, the processor being adapted to invoke and execute the computer program stored in the memory to perform the method of any of the preceding claims.
An embodiment of the present application further provides a network device, including: a processor and a memory for storing a computer program, the processor being configured to invoke and execute the computer program stored in the memory to perform the method as claimed in any one of the preceding claims.
An embodiment of the present application further provides a chip, including: a processor for calling and running a computer program from a memory so that a device on which the chip is installed performs the method of any one of the above.
An embodiment of the present application further provides a chip, including: a processor for calling and running a computer program from a memory so that a device on which the chip is installed performs the method of any one of the above.
Embodiments of the present application further provide a computer-readable storage medium for storing a computer program, where the computer program makes a computer execute the method described in any one of the above.
Embodiments of the present application also provide a computer-readable storage medium for storing a computer program, where the computer program makes a computer execute the method described in any one of the above.
Embodiments of the present application also provide a computer program product comprising computer program instructions for causing a computer to perform the method according to any of the above.
Embodiments of the present application also provide a computer program product comprising computer program instructions for causing a computer to perform the method according to any of the above.
Embodiments of the present application also provide a computer program, which causes a computer to execute the method according to any one of the above.
Embodiments of the present application also provide a computer program, which causes a computer to execute the method according to any one of the above.
According to the embodiment of the application, more information quantity reflecting the network performance can be provided by determining and sending the enhanced representation data of the layer two measurement quantity, so that more reference information is provided for the network to perform targeted resource adjustment or load balancing.
Fig. 1 is a schematic diagram of an application scenario of an embodiment of the present application.
Fig. 2 is a flow chart of an implementation of a layer two measurement enhancement representation and reporting method 200 according to an embodiment of the application.
Fig. 3 is a flowchart of an implementation of a method 300 for determining PDF data or CDF data of a layer two measurement in the embodiment of the present application.
Fig. 4 is a flowchart of an implementation of a resource adjustment method 400 according to an embodiment of the present application.
Fig. 5 is a schematic diagram of an application scenario according to an embodiment of the present application.
Fig. 6 is a schematic structural diagram of a communication device 600 according to an embodiment of the present application.
Fig. 7 is a schematic structural diagram of a network device 700 according to an embodiment of the present application.
Fig. 8 is a schematic structural diagram of a network device 800 according to an embodiment of the present application
Fig. 9 is a schematic block diagram of a communication device 900 according to an embodiment of the present application;
fig. 10 is a schematic structural diagram of a chip 1000 according to an embodiment of the present application.
The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.
It should be noted that the terms "first," "second," and the like in the description and claims of the embodiments of the present application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. The objects described in the "first" and "second" may be the same or different.
The technical scheme of the embodiment of the application can be applied to various communication systems, for example: a Global System for Mobile communications (GSM) System, a Code Division Multiple Access (CDMA) System, a Wideband Code Division Multiple Access (WCDMA) System, a General Packet Radio Service (GPRS), a Long Term Evolution (Long Term Evolution, LTE) System, an Advanced Long Term Evolution (LTE-a) System, a New Radio (NR) System, an Evolution System of an NR System, an LTE (LTE-based Access to unlicensed spectrum, LTE-U) System on unlicensed spectrum, an NR (NR-based Access to unlicensed spectrum, a Universal Mobile telecommunications System (GSM) System, a UMTS (Universal Mobile telecommunications System), a Wireless Local Area network (UMTS) System, a Wireless Local Area Network (WLAN) 5 (Wireless Local Area network, or the like), and a Wireless Local Area network (WLAN-5) System.
Generally, the conventional Communication system supports a limited number of connections and is easy to implement, however, with the development of Communication technology, the mobile Communication system will support not only conventional Communication but also, for example, device-to-Device (D2D) Communication, machine-to-Machine (M2M) Communication, machine Type Communication (MTC), and Vehicle-to-Vehicle (V2V) Communication, and the embodiments of the present application can also be applied to these Communication systems.
Optionally, the communication system in the embodiment of the present application may be applied to a Carrier Aggregation (CA) scenario, may also be applied to a Dual Connectivity (DC) scenario, and may also be applied to an independent (SA) networking scenario.
The frequency spectrum of the application is not limited in the embodiment of the present application. For example, the embodiments of the present application may be applied to a licensed spectrum and may also be applied to an unlicensed spectrum.
The embodiments of the present application are described in conjunction with a network device and a terminal device, where: a terminal device may also be referred to as a User Equipment (UE), an access terminal, a subscriber unit, a subscriber station, a mobile station, a remote terminal, a mobile device, a User terminal, a wireless communication device, a User agent, or a User Equipment, etc. The terminal device may be a Station (ST) in a WLAN, and may be a cellular phone, a cordless phone, a Session Initiation Protocol (SIP) phone, a Wireless Local Loop (WLL) station, a Personal Digital Assistant (PDA) device, a handheld device with Wireless communication function, a computing device or other processing device connected to a Wireless modem, a vehicle-mounted device, a wearable device, and a next generation communication system, for example, a terminal device in an NR Network or a terminal device in a future evolved Public Land Mobile Network (PLMN) Network, and the like.
By way of example and not limitation, in the embodiments of the present application, the terminal device may also be a wearable device. Wearable equipment can also be called wearable intelligent equipment, is the general term of applying wearable technique to carry out intelligent design, develop the equipment that can dress to daily wearing, like glasses, gloves, wrist-watch, dress and shoes etc.. The wearable device may be worn directly on the body or may be a portable device integrated into the user's clothing or accessory. The wearable device is not only a hardware device, but also realizes powerful functions through software support, data interaction and cloud interaction. The generalized wearable smart device includes full functionality, large size, and can implement full or partial functionality without relying on a smart phone, such as: smart watches or smart glasses and the like, and only focus on a certain type of application function, and need to be matched with other equipment such as a smart phone for use, such as various smart bracelets for physical sign monitoring, smart jewelry and the like.
The network device may be a device for communicating with a mobile device, and the network device may be an Access Point (AP) in a WLAN, a Base Station (BTS) in GSM or CDMA, a Base Station (NodeB, NB) in WCDMA, an evolved Node B (eNB, eNodeB) in LTE, a relay Station or an Access Point, or a vehicle-mounted device, a wearable device, a network device (gNB) in an NR network, or a network device in a PLMN network for future evolution, and the like.
In this embodiment of the present application, a network device provides a service for a cell, and a terminal device communicates with the network device through a transmission resource (for example, a frequency domain resource or a spectrum resource) used by the cell, where the cell may be a cell corresponding to the network device (for example, a base station), and the cell may belong to a macro base station or a base station corresponding to a Small cell (Small cell), where the Small cell may include: urban cells (Metro cells), micro cells (Micro cells), pico cells (Pico cells), femto cells (Femto cells), and the like, and the small cells have the characteristics of small coverage area and low transmission power, and are suitable for providing high-rate data transmission services.
Fig. 1 exemplarily shows one network device 110 and two terminal devices 120, and optionally, the wireless communication system 100 may include a plurality of network devices 110, and each network device 110 may include other numbers of terminal devices 120 within the coverage area, which is not limited in the embodiment of the present application. The embodiment of the present application may be applied to one terminal device 120 and one network device 110, and may also be applied to one terminal device 120 and another terminal device 120.
Optionally, the wireless communication system 100 may further include other network entities such as a Mobility Management Entity (MME), an Access and Mobility Management Function (AMF), which is not limited in this embodiment.
It should be understood that the terms "system" and "network" are often used interchangeably herein. The term "and/or" herein is merely an association relationship describing an associated object, and means that there may be three relationships, for example, a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter associated objects are in an "or" relationship.
The existing layer two measurement quantity is the average value of a measurement object in a period of time, and the stability of the performance of the measurement object cannot be reflected. For example, if there is data packet transmission with good performance and poor performance in the network, it indicates that the performance of network transmission is unstable and jitter is large; this cannot be reflected from a simple average value. The operation and maintenance unit or the network element cannot be emphasized, and a reasonable resource allocation scheme cannot be provided.
In view of the above, the embodiments of the present application propose a layer two measurement quantity enhancement representation and reporting method. Fig. 2 is a flow chart of an implementation of a two-layer measurement enhancement representation and reporting method 200 according to an embodiment of the present application, which may optionally be applied to the system shown in fig. 1, but is not limited thereto. The method includes at least part of the following.
S210: determining enhanced representation data of the layer two measurement quantity; wherein the enhanced representation data of the layer two measurement is indicative of a degree of dispersion of the sample of the layer two measurement;
s220: the enhanced representation data for the layer two measurement is transmitted.
In some possible embodiments, the enhanced representation data comprises at least one of:
variance;
average difference;
standard deviation;
probability Distribution Function (PDF) data;
the Distribution Function (CDF) data is accumulated.
Optionally, the layer two measurement quantity comprises at least one of:
a first measurement quantity, configured to indicate an uplink air interface packet transmission delay of a given terminal for a given Data Radio Bearer (DRB);
a second measurement quantity for indicating an uplink Radio Link Control (RLC) layer packet delay of a given terminal for a given DRB;
a third measurement quantity, configured to indicate a Packet Data Convergence Protocol (PDCP) reordering delay for a given terminal of the given DRB;
and a fourth measurement quantity for indicating the uplink PDCP data packet transmission delay of the given terminal aiming at the given DRB.
The conventional layer two measurement values are average values of the measurement objects in a period of time. Specifically, the method comprises the following steps:
first measurement amount:
the measurement position of the measurement quantity is a Media Access Control (MAC) layer of the base station.
The measurement quantity gives the time length from the actual transmission time point of the uplink authorization scheduled by the network side for the terminal as the uplink Data packet MAC Service Data Unit (SDU, service Data Unit) i to the time point of the network side finally successfully receiving the transmission block carrying the MAC SDU.
The expression of the average transmission delay of the uplink air interface data packet of a given terminal for a given DRB is as follows (1):
wherein, M (T, drbid) represents an average transmission delay of an uplink air interface data packet of a given terminal for a given DRB in a time period T; t has a unit of 0.1 milliseconds;
tshed (i, drbid), which represents a time point of actual transmission of an uplink grant scheduled by UL MAC SDU i;
tSucc (i, drbid), which represents the time point when the network side successfully receives the MAC SDU i;
i, representing a MAC SDU i reaching the MAC layer in a period T;
i (T), indicates the total number of MAC SDUs I.
T, representing the time period of the measurement;
drbid, representing the identity of the DRB being measured.
(II) second measurement quantity:
the measurement location of the measurement quantity is the base station RLC layer.
The measurement gives the duration from the time the RLC layer first received the first part containing the RLC SDU to the time all segments of the RLC SDU are finally delivered to the PDCP layer.
The expression of the average transmission delay of the uplink RLC data packet of a given terminal for a given DRB is as follows (2):
wherein, M (T, drbid) represents the average transmission delay of the uplink RLC data packet for a given terminal of a given DRB within a time period T; t has a unit of 0.1 milliseconds;
tReceiv (i, drbid), which indicates a point in time when an RLC Packet Data Unit (PDU) containing the first part of the RLC SDU i is received;
tSent (i, drbid), which indicates a time point when the RLC SDU i is transmitted to a Central Unit (CU) of the PDCP or split gNB;
i, indicating the RLC SDU received by the RLC layer within the period T;
i (T), representing the total number of RLC SDUs I;
t, representing the time period of the measurement;
drbid, representing the identity of the DRB being measured.
(III) third measurement quantity:
the measurement position of the measurement quantity is a PDCP layer of the base station.
The measurement quantity gives the average time length of the uplink PDCP reordering, and when a PDCP PDU with a sequence number of x is delivered to a PDCP layer, the PDCP PDU with the sequence number of less than x needs to be delivered to an upper layer (Service Data attachment Protocol) layer) after all PDCP PDUs with the sequence number of less than x are delivered to the PDCP layer.
The expression of the average reordering delay of the uplink PDCP of a given terminal aiming at a given DRB is as follows (3):
wherein M (T, drbid) represents the uplink PDCP average reordering delay for a given terminal for a given DRB during a time period T; t has a unit of 0.1 milliseconds;
tReceiv (i, drbid) indicating a time point at which the PDCP PDU containing the PDCP SDU i is received;
tSent (i, drbid) indicating a time point at which PDCP SDU i is transmitted to the upper SAP;
i, representing the PDCP SDU received by the PDCP layer in the period T;
i (T) representing the total number of PDCP SDU I;
t, representing the time period of the measurement;
drbid, which represents the identity of the DRB being measured.
(IV) fourth measurement quantity:
the measurement location of the measurement amount is the terminal PDCP.
For a DRB of a UE, the test quantity characterizes the average queuing duration of the packet in the PDCP layer (from the arrival of the packet at the PDCP SAP service access point to the final terminal receiving the uplink grant for transmitting the packet (including the delay from the terminal sending SR/performing RACH to the final uplink grant)). The specific expression is as follows (4):
wherein M (T, drbid) represents the average delay of the uplink PDCP for a given DRB during a time period T; t has a unit of 0.1 milliseconds;
tAlrival (i) represents a time point when the PDCP SDU i reaches the PDCP upper layer SAP;
tDeliv (i) indicates a time point when the terminal receives the uplink grant for transmitting the data packet;
i, indicating the PDCP SDU received by the PDCP layer in the period T;
i (T) representing the total number of PDCP SDU I;
t, representing the time period of the measurement;
drbid, which represents the identity of the DRB being measured.
The prior four-layer two-measurement expression is introduced above. According to the above expression, the variance of the samples of the layer two measurement quantities proposed by the embodiment of the present application can be expressed at least in the following form:
the variance of the samples of the first measurement quantity, that is, the variance of the uplink air interface data packet transmission delay of a given terminal for a given DRB, is shown as the following formula:
the parameters in the above formula are the same as those in the above formula (1), and are not described herein again.
The variance of the samples of the second measurement quantity, i.e. the uplink RLC layer packet delay variance of a given terminal for a given DRB, is shown as the following equation:
the parameters in the above formula are the same as those in the above formula (2), and are not described again here.
The variance of the samples of the third measurement quantity, i.e. the variance of the uplink PDCP reordering delay for a given terminal for a given DRB, is shown as follows:
the parameters in the above formula are the same as those in the above formula (3), and are not described again here.
The variance of the samples of the fourth measurement quantity, i.e. the variance of the uplink PDCP data packet transmission delay of a given terminal for a given DRB, is shown as follows:
the parameters in the above formula are the same as those in the above formula (4), and are not described herein again.
Optionally, the step S210 may include:
receiving configuration information of a statistical method;
determining that the enhanced representation data includes PDF data and/or CDF data based on the statistical method configuration information.
The statistical method configuration information may be sent from the receiving-end network device to the sending-end network device or to the UE. The sending end network device or the UE determines which data are specifically included in the enhanced representation data according to the configuration of the receiving end network device.
Alternatively, the method may further include:
determining that the enhanced representation data comprises PDF data and/or CDF data according to preset;
and sending statistical method indication information for indicating that the enhanced representation data comprises PDF data and/or CDF data.
The statistical method indication information may be sent to the receiving end network device by the sending end network device or the UE, so as to notify the receiving end network device of which data is specifically included in the enhanced representation data.
Optionally, the sending-end network device determines enhanced representation data of the first measurement quantity, the second measurement quantity and/or the third measurement quantity in the layer-two measurement quantities, and sends the enhanced representation data of the first measurement quantity, the second measurement quantity and/or the third measurement quantity to the receiving-end network device through Xn signaling or NG signaling.
The statistical method configuration information may be sent to the neighboring base station by the base station on an Xn interface, or sent to the base station by the core network on an NG signaling.
Optionally, the terminal device determines enhanced representation data of a fourth measurement quantity in the layer two measurement quantities, and sends the enhanced representation data of the fourth measurement quantity to the receiving-end network device through Radio Resource Control (RRC) signaling.
The configuration information of the statistical method may be sent to the terminal by the network device through RRC signaling.
In another embodiment of the present application, for any one of the above-mentioned measured quantities, an average difference or standard deviation of the layer two measured quantities may be determined, and a corresponding expression is adopted according to the definition of the average difference or standard deviation.
In another embodiment of the present application, PDF data or CDF data of the layer two measurement quantity may be determined for any of the measurement quantities described above.
Fig. 3 is a flowchart of an implementation of a method 300 for determining PDF data or CDF data of a layer two measurement quantity in the embodiment of the present application, including the following steps:
s310: determining a plurality of samples of the second layer measurement quantity in a preset time period;
s320: determining the value ranges of a plurality of samples;
s330: dividing the value range into a plurality of segments;
s340: counting the number of samples in each segment;
s350: and determining PDF data or CDF data according to the number of samples in each segment and the total number of samples in a preset time period.
Optionally, the number of the segments may be configured by a network device (based on a base station, a core network element, and the like); and/or preset by the device for determining and sending the enhanced representation data of the layer two measurement quantity.
Optionally, the PDF data may comprise at least one of:
a predetermined time period;
the number of segments;
the number of samples in each segment;
total number of samples;
sample ratios within each segment.
Optionally, the CDF data may include at least one of:
a predetermined time period;
the number of segments;
the number of samples in each segment;
total number of samples;
the cumulative proportion of samples within each segment.
For example, the following steps are included:
step 1: all the packet sample amounts in the unit time T period are calculated.
Step 2: determining the value ranges of a plurality of samples;
taking the first measurement quantity as an example, the value range of the sample is as follows:
Z＝max(tSucc(i,drbid)-tSched(i,drbid))；
taking the second measurement quantity or the third measurement quantity as an example, the value range of the sample is as follows:
Z＝max(tSent(i,drbid)-tReceiv(i,drbid))；
taking the fourth measurement quantity as an example, the value range of the sample is as follows:
Z＝max(tDeliv(i,drbid)-tArrival(i,drbid))。
and step 3: divide [0, Z ] into N ranges (N is configured by the network, or is informed by the terminal or base station itself), i.e., [0, Z × 1/N), [ Z × 1/N, Z × 2/N.
And 4, step 4: the number or total number of samples falling within each of the above ranges is counted.
And 5: and giving corresponding PDF data or CDF data according to the number of the samples falling into each range and the total number of the samples.
If the sending end is a terminal device, after determining PDF data or CDF data, the terminal device may report fourth measurement amount of PDF data or CDF data to the receiving end network device through an RRC signaling, where the fourth measurement amount of PDF data or CDF data includes N and Z, the number and/or total number of samples falling into each range, or a ratio (for PDF) in each range, or an accumulated ratio (for CDF) in each range.
If the sending end is a network device, after determining PDF data or CDF data, the network device may report the PDF data or CDF data of the first measurement quantity, the second measurement quantity, or the third measurement quantity to the receiving end network device through an Xn interface or an NG signaling, where the PDF data or CDF data includes N, Z, the number and/or total number of samples falling into each range, or a ratio (for PDF) in each range, or an accumulated ratio (for CDF) in each range.
An embodiment of the present application further provides a resource adjustment method, and fig. 4 is a flowchart illustrating implementation of a resource adjustment method 400 according to an embodiment of the present application, where the method includes at least part of the following contents.
S410: receiving enhanced representation data of the layer two measurement quantity; wherein the enhanced representation data of the layer two measurement is indicative of a degree of dispersion of the sample of the layer two measurement;
s410: and adjusting resources according to the enhanced representation data of the layer two measurement quantity.
Optionally, in the resource adjustment method provided in the embodiment of the present application, the resource adjustment may be performed according to the enhanced representation data of the layer two measurement quantity and the layer two measurement quantity.
Optionally, in a resource adjustment method provided in an embodiment of the present application, the enhanced representation data may include at least one of the following:
variance;
average difference;
standard deviation;
PDF data;
CDF data.
Optionally, in a resource adjustment method provided in the embodiment of the present application, the layer two measurement quantity may include at least one of the following:
a first measurement quantity, configured to indicate an uplink air interface data packet transmission delay for a given DRB given terminal;
a second measurement quantity, which is used for indicating the uplink RLC layer packet time delay of a given terminal aiming at a given DRB;
a third measurement quantity, for indicating the uplink PDCP reordering delay for a given terminal of a given DRB;
and a fourth measurement quantity for indicating the uplink PDCP data packet transmission delay of the given terminal aiming at the given DRB.
Optionally, the method further comprises: and sending statistical method configuration information for configuring the enhanced representation data to comprise PDF data and/or CDF data.
Alternatively, the method further comprises: statistical method indication information is received, the statistical method indication information indicating that the enhanced representation data includes PDF data and/or CDF data.
In some possible embodiments, the receiving-end network device receives, through Xn signaling or NG signaling, enhanced representation data of the first measurement quantity, the second measurement quantity, and/or the third measurement quantity in the layer of the second measurement quantity from the transmitting-end network device.
Optionally, in a resource adjustment method provided in this embodiment of the present application, the receiving end network device receives, through an RRC signaling, enhanced indicating data of a fourth measurement quantity in the layer two measurement quantities from the terminal device.
Optionally, the method further comprises: and transmitting the related parameters of the PDF or the CDF, such as the number N of the segments, so that the equipment for generating and reporting the enhanced representation data of the layer two measurement quantity determines the PDF data and/or the CDF data according to the related parameters.
Optionally, the PDF data may include at least one of:
a predetermined time period;
the total number of samples of the layer two measurement quantity in the preset time period;
the value range of the sample of the layer two measurement quantity in the preset time period;
the number of segments of the value range;
the number of samples within each segment;
the sample proportion within the respective segment.
Optionally, the CDF data may include at least one of:
a predetermined time period;
the total number of samples of the layer two measurement quantity in the preset time period;
the value range of the sample of the layer two measurement quantity in the preset time period;
the number of segments of the value range;
the number of samples within each segment;
the cumulative proportion of samples within the respective segment.
Take the application scenario shown in fig. 5 as an example. Under a Dual Connectivity (DC) scenario, a terminal device reports to a Master Node (MN) that an average delay of uplink PDCP packet transmission of a logical channel 1 of a split DRB (split DRB) is 0.4s, and a variance is 10; the average time delay of the transmission of the uplink PDCP data packet of the logic channel 2 is 0.4s, and the variance is 2.
The MN can determine, according to the measurement quantity reported by the terminal device, that the average time delay of the uplink PDCP packet transmission in the logical channel 1 and the average time delay of the uplink PDCP packet transmission in the logical channel 2 are equal, and the uplink PDCP packet transmission in the logical channel 2 is more stable in performance and less in performance jitter than the uplink PDCP packet transmission in the logical channel 1, so that it is determined that more air interface uplink grants are allocated to the terminal device by a Secondary Node (SN) cell corresponding to the logical channel 2 to carry data transmission on the split DRB.
Or, the terminal device reports to the master node that the average time delay of uplink PDCP packet transmission of the logical channel 1 of the split DRB is 0.4s, and PDF1 data as shown in fig. 5; the uplink PDCP packet transmission of logical channel 2 has an average delay of 0.4s and PDF2 data as shown in fig. 5.
The MN can determine that the average delay of the uplink PDCP packet transmission in the logical channel 1 and the average delay of the uplink PDCP packet transmission in the logical channel 2 are equal according to the measurement reported by the terminal device, and the performance of the delay of the uplink PDCP packet transmission in the logical channel 2 is more stable and the performance jitter is smaller in the logical channel 2 than the uplink PDCP packet transmission in the logical channel 1 (as shown in fig. 5, compared with PDF1, the distribution of samples of each segment in PDF2 is more uniform), so it is determined that more open uplink grants are allocated to the terminal device by the SN cell corresponding to the logical channel 2 to carry data transmission on the split DRB.
An embodiment of the present application further provides a communication device, and fig. 6 is a schematic structural diagram of a communication device 600 according to the embodiment of the present application, including:
a determining module 610 for determining enhanced representation data of the layer two measurement quantity; wherein the enhanced representation data of the layer two measurement is used to indicate a degree of dispersion of the sample of the layer two measurement;
and a sending module 620, configured to send enhanced representation data of the layer two measurement quantity.
The communication device may be a terminal device or a network device.
Optionally, the enhanced representation data comprises at least one of:
variance;
average difference;
standard deviation;
probability distribution function PDF data;
the distribution function CDF data is accumulated.
Optionally, the layer two measurement quantity comprises at least one of:
the first measurement quantity is used for indicating the transmission delay of an uplink air interface data packet of a given terminal aiming at a given DRB;
a second measurement quantity, which is used for indicating the uplink RLC layer data packet time delay of a given terminal aiming at a given DRB;
a third measurement quantity, for indicating the uplink PDCP reordering delay for a given terminal of a given DRB;
and a fourth measurement quantity for indicating the uplink PDCP data packet transmission delay of the given terminal aiming at the given DRB.
Optionally, the determining module 610 is further configured to receive statistical method configuration information, and determine that the enhanced representation data includes PDF data and/or CDF data according to the statistical method configuration information.
Optionally, the determining module 610 is further configured to determine, according to a preset setting, that the enhanced representation data includes PDF data and/or CDF data; and sending statistical method indication information for indicating that the enhanced representation data comprises PDF data and/or CDF data.
Optionally, the determining module 610 is configured to determine enhanced representation data of the first measurement quantity, the second measurement quantity, and/or the third measurement quantity in the layer two measurement quantities;
a sending module 620, configured to send the enhanced representation data of the first measurement quantity, the second measurement quantity, and/or the third measurement quantity to the receiving-end network device through Xn signaling or NG signaling.
Optionally, the determining module 610 is configured to determine enhanced representation data of a fourth measurement quantity of the layer two measurement quantities;
a sending module 620, configured to send the enhanced representation data of the fourth measurement quantity to a receiving-end network device through RRC signaling.
Optionally, the determining module 610 is configured to determine a plurality of samples of the layer two measurement quantity within a predetermined time period; determining the value ranges of the plurality of samples; dividing the value range into a plurality of segments; counting the number of samples in each segment; and determining the PDF data or CDF data according to the number of samples in each segment and the total number of samples in the preset time period.
Optionally, the number of the segments is configured by a network device; and/or preset by the communication device.
Optionally, the PDF data comprises at least one of:
the predetermined time period;
the number of segments;
the number of samples within each segment;
the total number of samples;
the sample proportion within the respective segment.
Optionally, the CDF data comprises at least one of:
the predetermined time period;
the number of segments;
the number of samples within each segment;
the total number of samples;
the cumulative proportion of samples within the respective segments.
It should be understood that the above and other operations and/or functions of the modules in the communication device according to the embodiment of the present application are respectively for implementing the corresponding flows of the communication device in the method 200 of fig. 2, and are not described herein again for brevity.
An embodiment of the present application further provides a network device, and fig. 7 is a schematic structural diagram of a network device 700 according to an embodiment of the present application, including:
a receiving module 710 for receiving enhanced representation data of layer two measurement quantities; wherein the enhancement representation data of the layer two measurement is used to indicate a degree of dispersion of the sample of the layer two measurement;
and an adjusting module 720, configured to perform resource adjustment according to the enhanced representation data of the layer two measurement quantity.
Optionally, the adjusting module 720 performs resource adjustment according to the enhanced representation data of the tier two measurement and the tier two measurement.
Optionally, the enhanced representation data comprises at least one of:
variance;
average difference;
standard deviation;
PDF data;
CDF data.
Optionally, the layer two measurement quantity comprises at least one of:
a first measurement quantity, configured to indicate an uplink air interface data packet transmission delay for a given DRB given terminal;
a second measurement quantity, which is used for indicating the uplink RLC layer packet time delay of a given terminal aiming at a given DRB;
a third measurement quantity, for indicating the uplink PDCP reordering delay for a given terminal of a given DRB;
and a fourth measurement quantity, which is used for indicating the transmission delay of the uplink PDCP data packet of the given terminal aiming at the given DRB.
Optionally, as shown in fig. 8, the network device further includes: a statistical method configuration module 810, configured to send statistical method configuration information, where the statistical method configuration information is used to configure the enhanced representation data to include PDF data and/or CDF data.
Optionally, as shown in fig. 8, the network device further includes: a statistical method receiving module 820, configured to receive statistical method indication information, where the statistical method indication information is used to indicate that the enhanced representation data includes PDF data and/or CDF data.
Optionally, the receiving module 710 is configured to receive, through Xn signaling or NG signaling, enhanced representation data of the first measurement quantity, the second measurement quantity, and/or the third measurement quantity in the layer two measurement quantities from the sending-end network device.
Optionally, the receiving module 710 is configured to receive, through RRC signaling, enhanced representation data of a fourth measurement quantity of the layer two measurement quantities from the terminal device.
Optionally, as shown in fig. 8, the network device further includes: the parameter configuration module 830 is configured to send relevant parameters of the PDF or CDF, for example, the number N of the segments.
Optionally, the PDF data comprises at least one of:
a predetermined time period;
the total number of samples of the layer two measurement quantity in the preset time period;
the value range of the sample of the layer two measurement quantity in the preset time period;
the number of segments of the value range;
the number of samples within each segment;
sample proportions within the respective segments.
Optionally, the CDF data comprises at least one of:
a predetermined time period;
the total number of samples of the layer two measurement quantity in the preset time period;
the value range of the sample of the layer two measurement quantity in the preset time period;
the number of segments of the value range;
the number of samples within each segment;
the cumulative proportion of samples within the respective segments.
It should be understood that the above and other operations and/or functions of the modules in the network device according to the embodiment of the present application are respectively for implementing the corresponding flows of the network device in the method 400 of fig. 4, and are not described herein again for brevity.
Fig. 9 is a schematic block diagram of a communication device 900 according to an embodiment of the present application. The communication device 900 shown in fig. 9 includes a processor 910, and the processor 910 can call and run a computer program from a memory to implement the method in the embodiment of the present application.
Optionally, as shown in fig. 9, the communication device 900 may also include a memory 920. From the memory 920, the processor 910 can call and run a computer program to implement the method in the embodiment of the present application.
The memory 920 may be a separate device from the processor 910, or may be integrated in the processor 910.
Optionally, as shown in fig. 9, the communication device 900 may further include a transceiver 930, and the processor 910 may control the transceiver 930 to communicate with other devices, and specifically, may transmit information or data to the other devices or receive information or data transmitted by the other devices.
The transceiver 930 may include a transmitter and a receiver, among others. The transceiver 930 may further include antennas, and the number of antennas may be one or more.
Optionally, the communication device 900 may be a communication device in the embodiment of the present application, such as a terminal device or a network device, and the communication device 900 may implement a corresponding process implemented by the communication device in each method in the embodiment of the present application, and for brevity, details are not described here again.
Optionally, the communication device 900 may be a network device in this embodiment, and the communication device 900 may implement a corresponding process implemented by the network device in each method in this embodiment, which is not described herein again for brevity.
Fig. 10 is a schematic structural diagram of a chip 1000 according to an embodiment of the present application. The chip 1000 shown in fig. 10 includes a processor 1010, and the processor 1010 may call and run a computer program from a memory to implement the method in the embodiment of the present application.
Optionally, as shown in fig. 10, the chip 1000 may further include a memory 1020. From the memory 1020, the processor 1010 may call and execute a computer program to implement the method in the embodiment of the present application.
The memory 1020 may be a separate device from the processor 1010 or may be integrated into the processor 1010.
Optionally, the chip 1000 may further include an input interface 1030. The processor 1010 may control the input interface 1030 to communicate with other devices or chips, and in particular, may obtain information or data sent by the other devices or chips.
Optionally, the chip 1000 may further include an output interface 1040. The processor 1010 may control the output interface 1040 to communicate with other devices or chips, and may particularly output information or data to the other devices or chips.
Optionally, the chip may be applied to the terminal device in the embodiment of the present application, and the chip may implement a corresponding process implemented by the terminal device in each method in the embodiment of the present application, and for brevity, details are not described here again.
It should be understood that the chips mentioned in the embodiments of the present application may also be referred to as a system-on-chip, a system-on-chip or a system-on-chip, etc.
The aforementioned processors may be general purpose processors, digital Signal Processors (DSPs), field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), or other programmable logic devices, transistor logic devices, discrete hardware components, etc. The general-purpose processor mentioned above may be a microprocessor, or any conventional processor, etc.
The above-mentioned memories may be either volatile or nonvolatile memories, or may include both volatile and nonvolatile memories. The non-volatile memory may be a read-only memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an electrically Erasable EPROM (EEPROM), or a flash memory. Volatile memory can be Random Access Memory (RAM).
It should be understood that the above memories are exemplary but not limiting, for example, the memories in the embodiments of the present application may also be static random access memory (static RAM, SRAM), dynamic random access memory (dynamic RAM, DRAM), synchronous dynamic random access memory (synchronous DRAM, SDRAM), double data rate synchronous dynamic random access memory (DDR SDRAM), enhanced synchronous SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), direct Rambus RAM (DR RAM), and the like. That is, the memory in the embodiments of the present application is intended to comprise, without being limited to, these and any other suitable types of memory.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the application to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored on a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website, computer, server, or data center to another website, computer, server, or data center via wire (e.g., coaxial cable, fiber optic, digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that includes one or more available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., solid State Disk (SSD)), among others.
It should be understood that, in the various embodiments of the present application, the sequence numbers of the above-mentioned processes do not mean the execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present application.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (56)
- A two-layer measurement enhancement representation and reporting method, comprising:determining enhanced representation data of the layer two measurement quantity; wherein the enhanced representation data of the tier two measurement is indicative of a degree of dispersion of the sample of the tier two measurement;and sending the enhanced representation data of the layer two measurement quantity.
- The method of claim 1, wherein the enhanced representation data comprises at least one of:variance;average difference;standard deviation;probability distribution function PDF data;the distribution function CDF data is accumulated.
- The method of claim 1 or 2, wherein the layer two measurement quantity comprises at least one of:a first measurement quantity, configured to indicate an uplink air interface packet transmission delay of a given terminal for a given data radio bearer DRB;a second measurement quantity for indicating uplink radio link control, RLC, layer packet delay for a given terminal for a given DRB;a third measurement quantity, which is used for indicating the reordering time delay of an uplink packet data convergence protocol PDCP aiming at a given DRB given terminal;and a fourth measurement quantity for indicating the uplink PDCP data packet transmission delay of the given terminal aiming at the given DRB.
- The method of any of claims 1 to 3, the determining further comprising, prior to:receiving configuration information of a statistical method;determining that the enhanced representation data includes PDF data and/or CDF data according to the statistical method configuration information.
- The method of any of claims 1 to 3, further comprising:determining that the enhanced representation data includes PDF data and/or CDF data according to a preset.
- The method of claim 5, further comprising:and sending statistical method indication information for indicating that the enhanced representation data comprises PDF data and/or CDF data.
- The method of any one of claims 1 to 6,the sending end network device determines enhanced representation data of the first measurement quantity, the second measurement quantity and/or the third measurement quantity in the layer two measurement quantities, and sends the enhanced representation data of the first measurement quantity, the second measurement quantity and/or the third measurement quantity to the receiving end network device through Xn signaling or NG signaling.
- The method of any one of claims 1 to 6,and the terminal equipment determines the enhanced representation data of the fourth measurement quantity in the layer two measurement quantities and sends the enhanced representation data of the fourth measurement quantity to the receiving end network equipment through Radio Resource Control (RRC) signaling.
- The method of any of claims 1 to 8, wherein determining the layer two measurement PDF data or CDF data comprises:determining a plurality of samples of the layer two measurement quantity within a predetermined time period;determining the value ranges of the plurality of samples;dividing the value range into a plurality of segments;counting the number of samples in each segment;and determining the PDF data or CDF data according to the number of samples in each segment and the total number of samples in the preset time period.
- The method of claim 9, wherein,the number of the segments is configured by the network equipment; and/or the presence of a gas in the gas,is preset by the device which determines and sends the enhanced representation data of the layer two measurement quantity.
- The method according to claim 9 or 10, wherein the PDF data comprises at least one of the following:the predetermined time period;the number of segments;the number of samples within each segment;the total number of samples;the sample proportion within the respective segment.
- The method of claim 9 or 10, wherein the CDF data comprises at least one of:the predetermined time period;the number of segments;the number of samples within each segment;the total number of samples;the cumulative proportion of samples within the respective segments.
- A method of resource adjustment, comprising:receiving enhanced representation data of the layer two measurement quantity; wherein the enhanced representation data of the tier two measurement is indicative of a degree of dispersion of the sample of the tier two measurement;and adjusting resources according to the enhanced representation data of the layer two measurement quantity.
- The method of claim 13, wherein,and adjusting resources according to the enhanced representation data of the second-layer measurement quantity and the second-layer measurement quantity.
- The method according to claim 13 or 14, wherein the enhanced representation data comprises at least one of:variance;average difference;standard deviation;PDF data;CDF data.
- The method of any of claims 13 to 15, wherein the layer two measurement comprises at least one of:the first measurement quantity is used for indicating the transmission delay of an uplink air interface data packet of a given terminal aiming at a given DRB;a second measurement quantity, which is used for indicating the uplink RLC layer packet time delay of a given terminal aiming at a given DRB;a third measurement quantity, for indicating the uplink PDCP reordering delay for a given terminal of a given DRB;and a fourth measurement quantity for indicating the uplink PDCP data packet transmission delay of the given terminal aiming at the given DRB.
- The method of any of claims 13 to 16, further comprising:and sending statistical method configuration information for configuring the enhanced representation data to comprise PDF data and/or CDF data.
- The method of any of claims 13 to 16, further comprising:receiving statistical method indication information for indicating that the enhanced representation data includes PDF data and/or CDF data.
- The method of any one of claims 13 to 18,and the receiving end network equipment receives the enhanced representation data of the first measurement quantity, the second measurement quantity and/or the third measurement quantity in the layer two measurement quantities from the sending end network equipment through Xn signaling or NG signaling.
- The method of any one of claims 13 to 18,and the receiving end network equipment receives the enhanced representation data of the fourth measurement quantity in the layer two measurement quantities from the terminal equipment through RRC signaling.
- The method of any of claims 13 to 20, further comprising: and sending the relevant parameters of the PDF or the CDF.
- The method of any one of claims 13 to 21, wherein the PDF data comprises at least one of:a predetermined time period;the total number of samples of the layer two measurement quantity in the preset time period;the value range of the sample of the layer two measurement quantity in the preset time period;the number of segments of the value range;the number of samples within each segment;sample proportions within the respective segments.
- The method of any of claims 17 to 21, wherein the CDF data comprises at least one of:a predetermined time period;the total number of samples of the layer two measurement quantity in the preset time period;the value range of the sample of the layer two measurement quantity in the preset time period;the number of segments of the value range;the number of samples within each segment;the cumulative proportion of samples within the respective segments.
- A communication device, comprising:the determining module is used for determining enhanced representation data of the layer two measurement quantity; wherein the enhanced representation data of the tier two measurement is indicative of a degree of dispersion of the sample of the tier two measurement;and the sending module is used for sending the enhanced representation data of the layer two measurement quantity.
- The communication device of claim 24, wherein the enhanced representation data comprises at least one of:variance;average difference;standard deviation;probability distribution function PDF data;the distribution function CDF data is accumulated.
- The communication device of claim 24 or 25, wherein the layer two measurement quantity comprises at least one of:the first measurement quantity is used for indicating the transmission delay of an uplink air interface data packet of a given terminal aiming at a given DRB;a second measurement quantity, which is used for indicating the uplink RLC layer packet time delay of a given terminal aiming at a given DRB;a third measurement quantity, for indicating the uplink PDCP reordering delay for a given terminal of a given DRB;and a fourth measurement quantity for indicating the uplink PDCP data packet transmission delay of the given terminal aiming at the given DRB.
- The communication device of any of claims 24 to 26, wherein the determining module is further configured to receive statistical method configuration information; determining that the enhanced representation data includes PDF data and/or CDF data according to the statistical method configuration information.
- The communication device according to any of claims 24 to 26, wherein the determining module is further configured to determine, according to a preset, that the enhanced representation data comprises PDF data and/or CDF data.
- The communications device of claim 28, said determining module further configured to send statistical method indication information indicating that said enhanced representation data comprises PDF data and/or CDF data.
- The communication device of any of claims 24 to 29,the determination module is used for determining enhanced representation data of the first measurement quantity, the second measurement quantity and/or the third measurement quantity in the layer two measurement quantities;and the sending module is used for sending the enhanced representation data of the first measurement quantity, the second measurement quantity and/or the third measurement quantity to the receiving end network equipment through Xn signaling or NG signaling.
- The communication device of any of claims 24 to 29,the determining module is used for determining enhanced representation data of a fourth measurement quantity in the layer two measurement quantities;the sending module is configured to send the enhanced representation data of the fourth measurement quantity to a receiving-end network device through an RRC signaling.
- The communication device of any of claims 24 to 31,the determining module is used for determining a plurality of samples of the second layer measurement quantity in a preset time period; determining the value ranges of the plurality of samples; dividing the value range into a plurality of segments; counting the number of samples in each segment; and determining the PDF data or CDF data according to the number of the samples in each segment and the total number of the samples in the preset time period.
- The communication device of claim 32,the number of the segments is configured by the network equipment; and/or preset by the communication device.
- The communication device of claim 32 or 33, wherein the PDF data comprises at least one of the following:the predetermined time period;the number of segments;the number of samples within each segment;the total number of samples;sample proportions within the respective segments.
- The communication device of claim 32 or 33, wherein the CDF data comprises at least one of:the predetermined time period;the number of segments;the number of samples within each segment;the total number of samples;the cumulative proportion of samples within the respective segments.
- A network device, comprising:the receiving module is used for receiving the enhanced representation data of the layer two measurement quantity; wherein the enhanced representation data of the layer two measurement is used to indicate a degree of dispersion of the sample of the layer two measurement;and the adjusting module is used for adjusting resources according to the enhanced representation data of the layer two measurement quantity.
- The network device of claim 36,and the adjusting module adjusts resources according to the enhanced representation data of the layer two measurement quantity and the layer two measurement quantity.
- A network device as claimed in claim 36 or 37, wherein the enhanced representation data comprises at least one of:variance;average difference;standard deviation;PDF data;CDF data.
- The network device of any of claims 36 to 38, wherein the layer two measurement quantity comprises at least one of:the first measurement quantity is used for indicating the transmission delay of an uplink air interface data packet of a given terminal aiming at a given DRB;a second measurement quantity, which is used for indicating the uplink RLC layer packet time delay of a given terminal aiming at a given DRB;a third measurement quantity, for indicating the uplink PDCP reordering delay for a given terminal of a given DRB;and a fourth measurement quantity for indicating the uplink PDCP data packet transmission delay of the given terminal aiming at the given DRB.
- The network device of any of claims 36 to 39, further comprising:and the statistical method configuration module is used for sending statistical method configuration information, and the statistical method configuration information is used for configuring the enhanced representation data to comprise PDF data and/or CDF data.
- The network device of any of claims 36 to 39, further comprising:and the statistical method receiving module is used for receiving statistical method indication information, and the statistical method indication information is used for indicating that the enhanced representation data comprises PDF data and/or CDF data.
- The network device of any of claims 36 to 41,the receiving module is configured to receive, through Xn signaling or NG signaling, enhanced representation data of the first measurement quantity, the second measurement quantity, and/or the third measurement quantity in the layer two measurement quantities from the sending-end network device.
- The network device of any of claims 36 to 41,the receiving module is configured to receive, through RRC signaling, enhanced representation data of a fourth measurement quantity of the layer two measurement quantities from the terminal device.
- The network device of any of claims 38 to 43, further comprising:and the parameter configuration module is used for sending the relevant parameters of the PDF or the CDF.
- A network device according to any one of claims 38 to 44, wherein the PDF data comprises at least one of:a predetermined time period;the total number of samples of the layer two measurement quantity in the preset time period;the value range of the sample of the layer two measurement quantity in the preset time period;the number of segments of the value range;the number of samples within each segment;sample proportions within the respective segments.
- The network device of any one of claims 38 to 44, wherein the CDF data comprises at least one of:a predetermined time period;the total number of samples of the layer two measurement quantity in the preset time period;the value range of the sample of the layer two measurement quantity in the preset time period;the number of segments of the value range;the number of samples within each segment;the cumulative proportion of samples within the respective segments.
- A communication device, comprising: a processor and a memory for storing a computer program, the processor being configured to invoke and execute the computer program stored in the memory to perform the method of any of claims 1 to 12.
- A network device, comprising: a processor and a memory for storing a computer program, the processor being configured to invoke and execute the computer program stored in the memory to perform the method of any of claims 13 to 23.
- A chip, comprising: a processor for calling and running a computer program from a memory so that a device on which the chip is installed performs the method of any one of claims 1 to 12.
- A chip, comprising: a processor for calling and running a computer program from a memory so that a device on which the chip is installed performs the method of any one of claims 13 to 23.
- A computer-readable storage medium storing a computer program for causing a computer to perform the method of any one of claims 1 to 12.
- A computer-readable storage medium storing a computer program for causing a computer to perform the method of any one of claims 13 to 23.
- A computer program product comprising computer program instructions to cause a computer to perform the method of any one of claims 1 to 12.
- A computer program product comprising computer program instructions to cause a computer to perform the method of any one of claims 13 to 23.
- A computer program for causing a computer to perform the method of any one of claims 1 to 12.
- A computer program for causing a computer to perform the method of any one of claims 13 to 23.
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